FBS-3A feedback broadband seismometer has been widely utilized in observation networks up to now. Therefore, it is very important and practically meaningful for the application of this kind of sensor to fulfill some r...FBS-3A feedback broadband seismometer has been widely utilized in observation networks up to now. Therefore, it is very important and practically meaningful for the application of this kind of sensor to fulfill some relative research work about its transfer function and for the analysis to the data recorded and the further development of the seismometer. In this paper, from the viewpoint of achieving its working principle, method of systematic analysis is applied to deduce the transfer functions, including both the transfer function for calibration and that for measurement. Moreover, on the basis of that, the distribution of its zeroes and poles in a complex frequency domain is analyzed, which provides a convincing evidence to simplify this seismometer system from a high-order one to a two-order one. And the emulation of the frequency characteristics of FBS-3A is presented in this paper. On the whole, the aim of this article is to do some theoretical work about the earthquake observation sensor, and also to introduce the method of making systematic analysis in a complex frequency domain to the research and the development of the seismometers.展开更多
For a linear dynamical system,we address the problem of devising a bounded feedback control,which brings the system to the origin in finite time.The construction is based on the notion of a common Lyapunov function.It...For a linear dynamical system,we address the problem of devising a bounded feedback control,which brings the system to the origin in finite time.The construction is based on the notion of a common Lyapunov function.It is shown that the constructed control remains effective in the presence of small perturbations.展开更多
This paper proposes an improved particle swarm optimization (PSO) with iterative chaotic map with infinite collapses (ICMIC) perturbations (ICMICPSO) for global optimization of multimodal functions. The chaotic ...This paper proposes an improved particle swarm optimization (PSO) with iterative chaotic map with infinite collapses (ICMIC) perturbations (ICMICPSO) for global optimization of multimodal functions. The chaotic perturbation generated by the ICMIC is incorporated into the particle's velocity updating rule as self-feedback to make the particles have a larger potential space to fly. With the coefficient of chaotic perturbation decaying, the dynamics of ICMICPSO algorithm is a chaotic dynamics first and then a steepest descent dynamics. The proposed ICMICPSO method as hybrid optimization is tested on several widely used multimodal functions. Numerical results of the proposed algorithm are compared with that of some other Chaotic PSO variants available in the existing literature. The performance studies demonstrate that the effectiveness and efficiency of the proposed ICMICPSO approach are comparably to or better than that of the other CPSO variants for solving the global optimization of multimodal functions.展开更多
分布式储能因可有效抑制风光出力波动、提升可再生能源消纳率而在直流配网中得到广泛应用,但通常采用基于一致性的PI控制方法,稳定域较窄,当直流配网发生大幅不确定性扰动或通信链路中断故障,系统易失稳。为解决这一问题,本研究采用了...分布式储能因可有效抑制风光出力波动、提升可再生能源消纳率而在直流配网中得到广泛应用,但通常采用基于一致性的PI控制方法,稳定域较窄,当直流配网发生大幅不确定性扰动或通信链路中断故障,系统易失稳。为解决这一问题,本研究采用了分层控制方法。上层针对分布式储能强耦合、非线性特性,建立储能并网变换器李导数仿射模型,重构状态变量与控制变量映射关系,实现系统完全解耦变换;构建全局能量函数,通过对分布式储能动态能量主动整形,实现系统精确线性化变换,设计形式简单的反馈线性化控制律,可使各状态变量沿能量函数梯度方向快速收敛至期望工作点,确保系统全局渐近稳定。下层设计基于动态事件触发的储能荷电状态(state of charge,SoC)均衡控制方法,根据相邻节点储能SoC误差,自适应调节反馈线性化控制律增益,提升并网电压和电流期望轨迹跟踪快速性,降低一致性控制通信频次。基于dSPACE的实验结果表明:直流配网发生光伏与负载功率突变、参数摄动、时变通信时延和通信链路中断故障时,本研究所提方法能够实现分布式储能稳定协同控制、功率精确分配与SoC动态均衡。展开更多
The control law design for a near-space hypersonic vehicle(NHV)is highly challenging due to its inherent nonlinearity,plant uncertainties and sensitivity to disturbances.This paper presents a novel functional link net...The control law design for a near-space hypersonic vehicle(NHV)is highly challenging due to its inherent nonlinearity,plant uncertainties and sensitivity to disturbances.This paper presents a novel functional link network(FLN)control method for an NHV with dynamical thrust and parameter uncertainties.The approach devises a new partially-feedback-functional-link-network(PFFLN)adaptive law and combines it with the nonlinear generalized predictive control(NGPC)algorithm.The PFFLN is employed for approximating uncertainties in flight.Its weights are online tuned based on Lyapunov stability theorem for the first time.The learning process does not need any offline training phase.Additionally,a robust controller with an adaptive gain is designed to offset the approximation error.Finally,simulation results show a satisfactory performance for the NHV attitude tracking,and also illustrate the controller's robustness.展开更多
In this paper, observer-based static output feedback control problem for discrete-time uncertain switched systems is investigated under an arbitrary switching rule. The main method used in this note is combining switc...In this paper, observer-based static output feedback control problem for discrete-time uncertain switched systems is investigated under an arbitrary switching rule. The main method used in this note is combining switched Lyapunov function (SLF) method with Finsler's Lemma. Based on linear matrix inequality (LMI) a less conservative stability condition is established and this condition allows extra degree of freedom for stability analysis. Finally, a simulation example is given to illustrate the efficiency of the result.展开更多
摘要FBS-3A feedback broadband seismometer has been widely utilized in observation networks up to now. Therefore, it is very important and practically meaningful for the application of this kind of sensor to fulfill some relative research work about its transfer function and for the analysis to the data recorded and the further development of the seismometer. In this paper, from the viewpoint of achieving its working principle, method of systematic analysis is applied to deduce the transfer functions, including both the transfer function for calibration and that for measurement. Moreover, on the basis of that, the distribution of its zeroes and poles in a complex frequency domain is analyzed, which provides a convincing evidence to simplify this seismometer system from a high-order one to a two-order one. And the emulation of the frequency characteristics of FBS-3A is presented in this paper. On the whole, the aim of this article is to do some theoretical work about the earthquake observation sensor, and also to introduce the method of making systematic analysis in a complex frequency domain to the research and the development of the seismometers.
基金supported by Russian Foundation for Basic Research(Grant No.08-01-00234,08-01-00411,08-08- 00292)
摘要For a linear dynamical system,we address the problem of devising a bounded feedback control,which brings the system to the origin in finite time.The construction is based on the notion of a common Lyapunov function.It is shown that the constructed control remains effective in the presence of small perturbations.
基金Acknowledgements: This work is supported by A Foundation of National Excellent Doctoral Dissertation of China (No. 200250), Natural Science Foundation of Henan Province China (No. 411012400) and National Science Foundation of China (No. 60871080).
摘要This paper proposes an improved particle swarm optimization (PSO) with iterative chaotic map with infinite collapses (ICMIC) perturbations (ICMICPSO) for global optimization of multimodal functions. The chaotic perturbation generated by the ICMIC is incorporated into the particle's velocity updating rule as self-feedback to make the particles have a larger potential space to fly. With the coefficient of chaotic perturbation decaying, the dynamics of ICMICPSO algorithm is a chaotic dynamics first and then a steepest descent dynamics. The proposed ICMICPSO method as hybrid optimization is tested on several widely used multimodal functions. Numerical results of the proposed algorithm are compared with that of some other Chaotic PSO variants available in the existing literature. The performance studies demonstrate that the effectiveness and efficiency of the proposed ICMICPSO approach are comparably to or better than that of the other CPSO variants for solving the global optimization of multimodal functions.
摘要分布式储能因可有效抑制风光出力波动、提升可再生能源消纳率而在直流配网中得到广泛应用,但通常采用基于一致性的PI控制方法,稳定域较窄,当直流配网发生大幅不确定性扰动或通信链路中断故障,系统易失稳。为解决这一问题,本研究采用了分层控制方法。上层针对分布式储能强耦合、非线性特性,建立储能并网变换器李导数仿射模型,重构状态变量与控制变量映射关系,实现系统完全解耦变换;构建全局能量函数,通过对分布式储能动态能量主动整形,实现系统精确线性化变换,设计形式简单的反馈线性化控制律,可使各状态变量沿能量函数梯度方向快速收敛至期望工作点,确保系统全局渐近稳定。下层设计基于动态事件触发的储能荷电状态(state of charge,SoC)均衡控制方法,根据相邻节点储能SoC误差,自适应调节反馈线性化控制律增益,提升并网电压和电流期望轨迹跟踪快速性,降低一致性控制通信频次。基于dSPACE的实验结果表明:直流配网发生光伏与负载功率突变、参数摄动、时变通信时延和通信链路中断故障时,本研究所提方法能够实现分布式储能稳定协同控制、功率精确分配与SoC动态均衡。
基金supported by the National Natural Science Foundation of China(9071602860974106)
摘要The control law design for a near-space hypersonic vehicle(NHV)is highly challenging due to its inherent nonlinearity,plant uncertainties and sensitivity to disturbances.This paper presents a novel functional link network(FLN)control method for an NHV with dynamical thrust and parameter uncertainties.The approach devises a new partially-feedback-functional-link-network(PFFLN)adaptive law and combines it with the nonlinear generalized predictive control(NGPC)algorithm.The PFFLN is employed for approximating uncertainties in flight.Its weights are online tuned based on Lyapunov stability theorem for the first time.The learning process does not need any offline training phase.Additionally,a robust controller with an adaptive gain is designed to offset the approximation error.Finally,simulation results show a satisfactory performance for the NHV attitude tracking,and also illustrate the controller's robustness.
基金This work was supported by Doctorate Foundation of Shenyang Normal University of China (No. 054-554405-01)
摘要In this paper, observer-based static output feedback control problem for discrete-time uncertain switched systems is investigated under an arbitrary switching rule. The main method used in this note is combining switched Lyapunov function (SLF) method with Finsler's Lemma. Based on linear matrix inequality (LMI) a less conservative stability condition is established and this condition allows extra degree of freedom for stability analysis. Finally, a simulation example is given to illustrate the efficiency of the result.